Research Assistant/ Associate in Statistics
3 weeks ago
**Salary**:
**Research Assistant**: £31,396 to £32,982 per annum
**Research Associate**: £33,966 to £36,024 per annum
Newcastle University is a great place to work, with excellent benefits. We have a generous holiday package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you.
**Closing Date**: 23 June 2024
The Role
We are seeking a Research Associate in statistics to the 3-year Engineering & Physical Sciences Research Council funded project PINCODE: Pooling INference and Combining Distributions Exactly: A Bayesian Approach. The Bayesian fusion problem, pooling inference on sub-posteriors, has attracted substantial attention recently in a number of important data science contexts, such as large data settings, privacy settings, meta-analysis and multiple expert elicitation. PINCODE aims to address the challenges in such pooling inference, with implementing either exact or asymptotically exact Monte Carlo algorithms. The project is a collaboration among Department of Statistics at University of Warwick, Department of Mathematical Sciences at Durham University, and School of Mathematics, Statistics & Physics at Newcastle University.
The role comprises the development of R packages for Bayesian computational pooling inference.
- To develop an R package for path-space rejection sampling for diffusion processes
- To develop an R package for Bayesian Fusion pooling inference
- To develop R packages for alternatives Fusion algorithms, such as privacy Bayesian Fusion and constraint Bayesian Fusion
This is a full time hours (37 per week) position, with a fixed duration of three years, up until the project end date of 30.06.2027
Full Information about Newcastle University can be found here.
Key Accountabilities
Undertake research as part of the EPSRC funded ‘PINCODE’ project (EP/X028712/1), under the direction of Dr. Murray Pollock and Prof Hongsheng Dai
Work closely with other members of PINCODE, including Dr. L. Aslett (Durham) and Prof G. O. Roberts (Warwick)
Participate within the statistical community at Newcastle, including active involvement in seminars and research groups
Publish research findings in leading journals
Disseminate results widely, including at appropriate international conferences, and by making results and software available to applied practitioners
The Person
Knowledge, Skills and Experience
Evidence of conducting independent, high-quality research
Experience of modern computational statistical methodologies, such as Markov chain Monte Carlo, rejection sampling, sequential Monte Carlo, would be highly desirable
Strong programming skills
You will hold a relevant doctoral level degree in mathematics or statistics or Computer Science, or have submitted the thesis at the point of starting the position
You will have a good understanding on various computational statistics methods
Desirable
Attributes and Behaviour
Team working experience and excellent interpersonal skills
Strong communication skills, both written and verbal
**Qualifications**:
Relevant awarded doctoral level research degree in Mathematics or Statistics or Computer Science for appointment at Research Associate level
Soon obtain a doctoral level research degree in Mathematics or Statistics, Computer Science for appointment at Research Assistant level
Newcastle University is a global University where everyone is treated with dignity and respect. As a University of Sanctuary, we aim to provide a welcoming place of safety for all, offering opportunities to people fleeing violence and persecution.
At Newcastle University we hold a silver Athena Swan award in recognition of our good employment practices for the advancement of gender equality. We also hold a Race Equality Charter Bronze award in recognition of our work towards tackling race inequality in higher education REC. We are a Disability Confident employer and will offer an interview to disabled applicants who meet the essential criteria for the role as part of the offer and interview scheme.
In addition, we are a member of the Euraxess initiative supporting researchers in Europe.
**Requisition ID**: 26560
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